In computer vision, the work begins with a breakdown of the scene ... CNN based algorithm will outperform in accuracy of identification all of today’s object detection algorithms. In addition to the ...

Most computer vision algorithms require large amounts of ... extract the most noticeable object in an image. The salient object detection technique developed by Cheng’s team has led to improved ...

Matrox Imaging offers Design Assistant and MIL libraries to help enable rapid development with flowchart-based programming ...

Our research involves (i) fundamental computer vision topics such as video analytics, detecting humans and their poses from images, object detection and tracking ... spans the spectrum from theory to ...

Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence ...

ACM, the Association for Computing Machinery, today named Cordelia Schmid, Research Director at Inria, the French National Institute for Research in Digital Science and Technology, as the 2025-2026 ...

The 18-year-old won $250,000 for training a machine learning model to analyze understudied data from NASA's retired NEOWISE telescope ...

CATALOG DESCRIPTION: Advanced topics in computer vision including low-level vision, geometrical and 3D vision, stereo, 3D scene reconstruction, motion analysis, visual tracking, object recognition and ...